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Cited by 639

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Restorative Justice: Assessing Optimistic and Pessimistic Accounts

Braithwaite, John·1999·Crime and Justice

Abstract

For informal justice to be restorative justice, it has to be about restoring victims, restoring offenders, and restoring communities as a result of participation of a plurality of stakeholders. This means that victim-offender mediation, healing circles, family group conferences, restorative probation, reparation boards on the Vermont model, whole school antibullying programs, Chinese Bang Jiao programs, and exit conferences following Western business regulatory inspections can at times all be restorative justice. Sets of both optimistic propositions and pessimistic claims can be made about restorative justice by contemplating the global diversity of its practice. Examination of both the optimistic and the pessimistic propositions sheds light on prospects for restorative justice. Regulatory theory (a responsive regulatory pyramid) may be more useful for preventing crime in a normatively acceptable way than existing criminal law jurisprudence and explanatory theory. Evidence-based reform must move toward a more productive checking of restorative justice by liberal legalism, and vice versa.

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Metadata

Authors
Braithwaite, J.
Venue
Crime and Justice
Published
1999-01
Volume
25
Pages
1-127
ISSN
  • 0192-3234 (ISSN-L)
  • 2153-0416
OpenAlex
W2002788212
Cited by
639
References
64
FWCI
288.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Restorative Justice: Assessing Optimistic and Pessimistic Accounts. https://app.cochat.ai/papers/10.1086/449287
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Braithwaite, J. (1999). Restorative Justice: Assessing Optimistic and Pessimistic Accounts. Crime and Justice. https://doi.org/10.1086/449287

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.